Triple
T28647649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobden, Ontario |
E725105
|
entity |
| Predicate | distanceFrom Ottawa |
P23261
|
FINISHED |
| Object | approximately 100 kilometres northwest |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 100 kilometres northwest | Statement: [Cobden, Ontario, distanceFrom Ottawa, approximately 100 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFrom Ottawa Context triple: [Cobden, Ontario, distanceFrom Ottawa, approximately 100 kilometres northwest]
-
A.
distanceToOttawa
chosen
Indicates the spatial distance between a given entity’s location and the city of Ottawa.
-
B.
distanceFromGatineau
Indicates the spatial distance between a given entity or location and the city of Gatineau.
-
C.
distanceToOttawaByRoad
Indicates the length of the travel route between a place and Ottawa when moving along the road network rather than in a straight line.
-
D.
distanceFromToronto
Indicates the spatial distance between a given entity and the location of Toronto.
-
E.
distanceFromQuebecCity
Indicates the measured distance between a given place or object and Quebec City.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f01d8423888190bd2f4e52605bf261 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a002e71bdc48190b922f2d3b362d259 |
completed | May 10, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_6a002e1a28708190b65f9e657c770bab |
completed | May 10, 2026, 7:04 a.m. |
Created at: April 28, 2026, 4:49 a.m.